Neutrogena AI Market Strategy Report - Sunscreen Brands
This report supports CiteWorks Studio's examination of how AI search is recommending Sunscreen Brands. For more detail, you can also read Sunscreen Brands: AI Discovery Index.
On this report
Key Takeaways
- Neutrogena has broad visibility across SPF, acne-prone skin, body sunscreen, and drugstore skincare prompts.
- The brand earns positive mentions, but it converts fewer high-rank recommendations than CeraVe, La Roche-Posay, and EltaMD.
- Its strongest performance is in sunscreen discovery, while comparison prompts show weaker positive authority.
- The main opportunity is to turn familiar, affordable sunscreen positioning into more frequent top-3 and rank-1 recommendations.
This is an independent public analysis by CiteWorks Studio / LLM Authority Index. It is not affiliated with, endorsed by, or sponsored by Neutrogena unless explicitly stated.
Answer Capsule
Neutrogena appears in 258 of 914 AI observations and earns 160 valid recommendations. It is one of the category’s most visible mass-market sunscreen brands, with strong recognition across SPF, acne-prone skin, body sunscreen, hand sunscreen, and drugstore skincare prompts.
Visibility is not the same as being chosen. Neutrogena sits behind CeraVe, La Roche-Posay, and EltaMD on top-3 recommendation rate.
Its biggest opportunity is to convert broad utility visibility into more high-rank shortlist placement, especially in comparison and pricing prompts.
Who This Report Is For
This report is for CMOs, brand leaders, ecommerce teams, skincare marketers, growth teams, retail teams, agency partners, and communications teams working in sunscreen, SPF skincare, facial sunscreen, body sunscreen, drugstore skincare, acne-safe sunscreen, and daily-use sun-care categories.
It is especially useful for teams that need to know whether AI systems merely recognize a household brand or actively recommend it when buyers ask for the best option.
Report Card
Field | Value |
|---|---|
Report type | AI Market Strategy Report |
Target company | Neutrogena |
Category | Sunscreen Brands |
Reporting month | May 2026 |
AI platforms tracked | 6 |
Public high-intent clusters | 3 |
AI observations analyzed | 914 |
Competitors tracked | Supergoop, CeraVe, Cetaphil, EltaMD, Kopari Beauty, La Roche-Posay, Olay, Sun Bum, Vichy |
Executive Summary
Neutrogena is present in 258 of 914 observations and receives 160 valid recommendations. That makes it one of the broadest AI-visible sunscreen brands in the packet.
Best Sunscreen Discovery is the brand’s strongest cluster. Neutrogena records a 34.13% positive visibility rate, a 14.47% top-3 recommendation rate, and a 4.10% rank-1 rate there.
Sunscreen Comparison is weaker: 3.79% positive visibility, 9.15% neutral visibility, 0.63% top-3 rate, and 0.32% rank-1 rate. Sunscreen Pricing shows some decision-stage relevance, with 2.99% positive visibility, a 2.99% top-3 rate, and a 0.75% rank-1 rate.
By platform, Perplexity gives Neutrogena the strongest positive visibility at 35.00%, while Gemini gives it the highest rank-1 rate at 3.97%. Sentiment is favorable overall: 174 positive mentions, 84 neutral mentions, and 0 negative mentions.
What Neutrogena Is Winning
Neutrogena is winning broad utility visibility. AI systems repeatedly associate the brand with accessible SPF, oil-free sunscreen, acne-prone skin, Hydro Boost hydration, Ultra Sheer formats, and practical daily sun protection.
The brand’s breadth matters. It appears across face, body, hand, SPF moisturizer, men’s sunscreen, drugstore skincare, and inexpensive sunscreen prompts.
Neutrogena also has no negative mentions in the packet. The challenge is not reputation; it is moving from familiar option to first-choice recommendation more often.
Where Neutrogena Has the Clearest AI Visibility Gaps
Neutrogena’s main gap is high-rank conversion. The brand has 160 valid recommendations, but only 21 rank-1 recommendations.
The second gap is comparison-stage authority. Neutrogena appears in comparison prompts, but the packet shows a much higher neutral visibility rate than positive visibility rate in Sunscreen Comparison.
The third gap is leadership against clinical and barrier-support competitors. CeraVe, La Roche-Posay, and EltaMD all outperform Neutrogena on top-3 recommendation rate, and CeraVe and EltaMD also outperform it on rank-1 rate.
Biggest Opportunity
Neutrogena’s biggest opportunity is to turn mass-market familiarity into sharper AI recommendation roles.
The brand already has strong AI-recognizable lanes around affordable SPF, oil-free sunscreen, acne-prone skin, Hydro Boost hydration, body SPF, and drugstore accessibility. The next move is to make those lanes more clearly answer-ready for comparison, pricing, and “best for my skin type” prompts.
Competitive Landscape
Recommendation-stage strength is concentrated among CeraVe, La Roche-Posay, and EltaMD. Neutrogena sits fourth by top-3 rate, ahead of Cetaphil, Supergoop, Olay, Sun Bum, Vichy, and Kopari Beauty.
Brand | Top-3 rate | Rank-1 rate | Avg recommended rank | Sentiment |
|---|---|---|---|---|
CeraVe | 21.88% | 12.80% | 1.58 | 0.7647 |
La Roche-Posay | 21.44% | 6.56% | 1.8878 | 0.8598 |
EltaMD | 12.47% | 7.66% | 1.5702 | 0.7009 |
Neutrogena | 7.99% | 2.30% | 2.0959 | 0.6744 |
Cetaphil | 5.91% | 0.33% | 2.1852 | 0.8732 |
Supergoop | 3.17% | 0.88% | 2.2069 | 0.6588 |
1.42% | 0.77% | 1.6923 | 0.5094 | |
0.77% | 0.33% | 1.7143 | 0.3243 | |
Vichy | 0.55% | 0.22% | 2 | 0.4359 |
Kopari Beauty | 0.00% | 0.00% | — | 0 |
Average recommended rank covers rank-eligible recommendations only.
Prompt Evidence
ChatGPT / Best Sunscreen Discovery — Which SPF is best for your face? Neutrogena appears in the answer with “Neutrogena Clear Face Oil-Free Sunscreen SPF 50” and language about avoiding clogged pores and greasy shine.
ChatGPT / Best Sunscreen Discovery — Which sunscreen is best for acne-prone skin? Neutrogena appears with “Neutrogena Clear Face Liquid Lotion Sunscreen SPF 55” and language about breakout-prone skin.
Google AI Overviews / Sunscreen Comparison — *CeraVe vs Neutrogena?* Neutrogena appears in the answer as a brand associated with lightweight, active-ingredient formulas targeting acne and hydration.
Google AI Mode / Sunscreen Comparison — SPF 50 vs 70? Neutrogena appears with Ultra Sheer Dry-Touch Sunscreen SPF 70 and language around a non-greasy finish.
Perplexity / Sunscreen Pricing — What’s the best inexpensive sunscreen? Neutrogena appears in the answer as an all-around drugstore option through Ultra Sheer Dry Touch SPF formats.
What CiteWorks Studio Would Do Next
Phase 1: AI Market Discovery Audit
Map the discovery, comparison, and pricing prompts where Neutrogena is present, displaced, or promoted across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews.
Phase 2: Recommendation Readiness Plan
Prioritize clusters where Neutrogena is visible but under-converting. The first focus would be comparison prompts, where neutral visibility is stronger than positive recommendation authority.
Phase 3: Owned Answer Layer Buildout
Build answer-ready pages around oil-free sunscreen, acne-prone SPF, Hydro Boost SPF, Ultra Sheer formats, body sunscreen, hand sunscreen, SPF level selection, and product comparisons against CeraVe, La Roche-Posay, EltaMD, and Cetaphil.
Phase 4: Citation / Authority Layer Development
Strengthen third-party evidence around dermatologist-adjacent trust, drugstore value, retailer reviews, product comparisons, skin-type fit, and format-specific validation across lotion, gel, spray, stick, and face sunscreen use cases.
Phase 5: Monthly AI Visibility & Recommendation Tracking
Track movement from presence to recommendation over time, by platform and cluster, with special attention to top-3 rate, rank-1 rate, and comparison-prompt displacement.
Why This Matters
Neutrogena is already deeply embedded in AI sunscreen discovery. That is a strong starting point because AI systems repeatedly recognize the brand across practical, high-volume SPF use cases.
But broad recognition does not automatically produce category leadership. In this packet, Neutrogena is visible and positively framed, yet the top clinical and barrier-support brands win more of the premium shortlist positions.
The next strategic move is not generic awareness. It is tightening the prompt, page, and citation layers so AI systems choose Neutrogena more often when buyers ask which sunscreen is best for acne, oil control, daily face use, body use, price-conscious shopping, and everyday SPF.
Core Metrics
Metric | Value |
|---|---|
Mentions | 258 |
Valid recommendations | 160 |
Top 3 recommendation count | 73 |
Rank #1 recommendation count | 21 |
Average recommended rank | 2.0959 (rank-eligible recommendations only) |
Positive mentions | 174 |
Neutral mentions | 84 |
Negative mentions | 0 |
Raw mention presence rate | 28.23% |
Valid recommendation coverage | 17.51% |
Top 3 recommendation rate | 7.99% |
Rank #1 recommendation rate | 2.30% |
Net sentiment score | 0.6744 |
Sentiment & Recommendation by Platform
Platform | Positive visibility rate | Rank-1 rate | Readout |
|---|---|---|---|
ChatGPT | 24.63% | 1.49% | Strong positive visibility with limited rank-1 conversion |
Copilot | 23.02% | 2.88% | Strong visibility and moderate rank-1 support |
Gemini | 9.93% | 3.97% | Lower visibility but strongest rank-1 rate |
Google AI Mode | 9.62% | 0.64% | Limited positive visibility and low rank-1 conversion |
Google AI Overviews | 17.29% | 1.87% | Solid visibility with some rank-1 support |
Perplexity | 35.00% | 3.33% | Strongest positive visibility surface |
Methodology
This is a one-company report for Neutrogena. All other tracked brands are treated as competitors relative to Neutrogena.
Reporting month is May 2026. The dataset extraction timestamp is May 20, 2026.
Six AI environments are included: ChatGPT, Gemini, Perplexity, Copilot, Google AI Mode, and Google AI Overviews. The packet contains 914 observations across three normalized public clusters: Best Sunscreen Discovery, Sunscreen Comparison, and Sunscreen Pricing.
A mention counts when Neutrogena appears in an AI answer in any form. A valid recommendation requires positive, shortlist-quality inclusion.
Per the dataset’s methodology inputs, sentiment is scored as “negative = -1, neutral = 0, positive = 1.” Rank eligibility is defined as: “Only positive valid recommendations receive rank credit.”
This is a point-in-time packet. AI outputs shift with platform updates, prompt phrasing, geography, personalization, retrieval behavior, and source-ecosystem changes.
Request an AI Visibility Audit
CiteWorks Studio produces AI Market Strategy Reports showing where your brand appears, disappears, or gets recommended across ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews. Request an AI Visibility Audit.
/ Take the next step
Want to Understand Your AI Citation Footprint?
We start every engagement with a full audit of how AI systems reference your brand today.
Measurable, Repeatable Programme
Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge
Citation Architecture Review
Identify which high-authority community sources are and aren't working in your favour across AI platforms.
AI Visibility Audit
Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.
/ Learn More
Understanding AI search visibility.
AI search experiences create answers by pulling information from many places online and summarizing it into a single response.


